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AI Operations, GTM

Hightouch - San Francisco, CA / New York, NY

Non-technical Verified May 21, 2026 Source: hightouch.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Compensation Hightouch's on-target earnings range for this position is $160,000 - $200,000 USD per year

Responsibilities

  • AI is changing how GTM teams operate. Most companies are responding by buying a few licenses and hoping for the best. We want to do something different.
  • We're hiring a GTM AI Operations lead to embed within our RevOps team and rewire how our sales, marketing, and CS teams work. You'll find the biggest opportunities for agentic automation across the GTM org, build the workflows, own the context layer that makes AI actually useful, and make sure the whole team knows how to use what you build.
  • This space moves weekly, not quarterly. We need someone who's obsessed with staying on the edge of what's possible and has the instinct to turn what they learn into something the team can use tomorrow. You're equal parts builder and teacher.
  • Audit GTM workflows across sales, marketing, and CS to identify high-impact opportunities for AI and agentic automation.
  • Design and build agentic workflows using tools like Clay, Claude, and Hightouch that replace manual busywork and accelerate pipeline
  • Own the AI context layer. Build and maintain Claude skills, Glean knowledge resources, knowledge graphs, and other systems that make our AI tools smarter over time
  • Stay obsessively current on new AI releases, models, and tooling. Prototype fast, cut what doesn't work, and bring what does back to the team
  • Lead enablement across GTM teams. Train reps, marketers, and CSMs on new AI-powered workflows and drive sustained adoption.
  • Work closely with the RevOps and Systems team to make sure everything you build plugs cleanly into the existing stack

Qualifications

  • You've probably already built something with Clay or Claude that nobody asked you to build
  • You've worked in RevOps, GTM Operations, or Solutions Engineering and understand how go-to-market teams actually operate day-to-day
  • You're a learner first. You stay on top of AI releases, you experiment constantly, and you get excited when a new model drops because you immediately see how it applies
  • You're also a natural teacher. You can take something complex and make it click for a rep who just wants to know how to close faster
  • You're comfortable with APIs, prompts, and stitching tools together
  • You thrive when there's no playbook. This role is new and you'll be writing the rules as you go
Apply on the original posting

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